Abstract: As a promising strategy to achieve generalizable graph learning tasks, graph invariant learning emphasizes identifying invariant subgraphs for stable predictions on biased unknown ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

The base component of the LM Studio SDK is the (synchronous) Client. This should be created once and used to manage the underlying websocket connections to the LM Studio instance. However, a top level ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...

Social studies teacher Gregg Solkovits remembers his days years ago at Monroe High in the San Fernando Valley as an unlucky campus wanderer, trudging from classroom to classroom, lugging teaching ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

The director and the writer of the surprisingly successful “Accountant” franchise join Affleck to discuss its origins, getting ahead in Hollywood and learning to line dance. Q&A The director and the ...

Introduction: Lung ultrasound (LUS) has become an essential imaging modality for assessing various pulmonary conditions, including the presence of B-line artifacts. These artifacts are commonly ...